Scalable processing and autocovariance computation of big functional data-Reference-Cited by-同舟云学术

Scalable processing and autocovariance computation of big functional data

Published:2017-09-28 Issue:1 Volume:48 Page:123-140
ISSN:0038-0644
Container-title:Software: Practice and Experience
language:en
Short-container-title:Softw Pract Exper

Author:

Brisaboa Nieves R.¹^ORCID,Cao Ricardo²^ORCID,Paramá José R.¹^ORCID,Silva-Coira Fernando¹^ORCID

Affiliation:

1. LBD Group, Computer Science Department, Facultade de Informática; Universidade da Coruña; CITIC, Campus de Elviña, A Coruña Spain

2. MODES Group, Mathematics Departament, Facultade de Informática, CITIC, ITMATI, Campus de Elviña; Universidade da Coruña; A Coruña Spain

Funder

Ministerio de Economía y Competitividad

Centro para el desarrollo Tecnológico e Industrial MINECO

Xunta de Galicia (co-founded with FEDER) under Grupos de Referencia Competitiva

Xunta de Galicia-Consellería de Cultura, Educación e Ordenación Universitaria (co-founded with FEDER) under Redes

Xunta de Galicia-Consellería de Cultura, Educación e Ordenación Universitaria(co-founded with FEDER) under Centro Singular de Investigación de Galicia

Publisher

Wiley

Subject

Software

Reference45 articles.

1. Scalable strategies for computing with massive data;Kane;J Stat Softw,2013

2. MapReduce: simplified data processing on large clusters;Dean;Commun the ACM,2008

3. Dudoladov S Xu C Schelter S Optimistic recovery for iterative dataflows in action 2015 Melbourne, Victoria, Australia

4. Schelter S Ewen S Tzoumas K Markl V "All roads lead to Rome": Optimistic recovery for distributed iterative data processing 2013 San Francisco, CA, USA

5. DeWitt DJ Katz RH Olken F Shapiro LD Stonebraker MR Wood DA Implementation techniques for main memory database systems 1984 Boston, MA, USA

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